Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "204"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 204 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 33 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 33 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 204, Node N19:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460016 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.367088 14.528194 1.504378 -0.933803 -0.067668 0.002393 15.186500 2.032486 0.5844 0.5997 0.3517 nan nan
2460015 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.562701 15.054163 1.591091 -0.907284 -0.126621 -0.051198 19.911177 1.465677 0.5943 0.6077 0.3490 nan nan
2460014 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.493350 16.209914 1.002552 -0.953606 0.667515 1.933933 13.568719 2.908702 0.5672 0.5904 0.3579 nan nan
2460013 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.810690 15.100832 1.645372 -0.901238 -0.019929 -0.144283 23.522584 1.817934 0.5885 0.6084 0.3565 nan nan
2460012 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.184732 14.218853 1.525768 -1.044245 0.209154 0.225999 31.606949 2.915612 0.5918 0.6119 0.3503 nan nan
2460011 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.533821 14.982535 1.871330 -1.406044 0.318607 0.492208 23.478389 1.919856 0.6178 0.6341 0.3453 nan nan
2460010 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.652974 16.408093 1.380507 -0.952993 0.250468 0.504899 20.579433 1.722007 0.6290 0.6528 0.3499 nan nan
2460009 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.229927 15.777658 1.920736 -1.044024 -0.578002 0.031408 23.962913 2.055676 0.6289 0.6519 0.3531 nan nan
2460008 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 11.381250 17.989565 1.893594 -1.235403 -0.229223 0.029073 7.913632 -0.885049 0.6644 0.6818 0.3188 nan nan
2460007 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.782420 13.975582 1.463748 -0.974904 0.446794 0.706373 20.501409 1.516528 0.6380 0.6568 0.3411 nan nan
2459999 RF_maintenance 0.00% 0.00% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.5947 0.6265 0.3427 nan nan
2459998 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 7.866459 13.470266 1.377859 -0.817637 -0.520635 0.558461 14.176720 1.077141 0.6101 0.6396 0.3800 nan nan
2459997 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.507131 14.423999 1.461406 -0.785468 -0.228583 0.370365 28.990270 1.764292 0.6154 0.6467 0.3863 nan nan
2459996 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.488666 15.662447 2.318113 -0.842786 0.184163 0.068674 15.903692 1.706884 0.6292 0.6566 0.3955 nan nan
2459995 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.145420 15.786604 1.598493 -1.081327 -0.047883 0.451697 12.314952 1.322992 0.6221 0.6530 0.3862 nan nan
2459994 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.949441 15.831723 1.337040 -0.909357 -0.345002 1.112052 13.731795 1.222212 0.6198 0.6484 0.3776 nan nan
2459993 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.173877 17.125055 1.048396 -0.924982 -0.054238 0.824020 10.173869 1.680888 0.5993 0.6419 0.3962 nan nan
2459991 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.863209 18.088739 1.160198 -0.918574 -0.330339 0.859614 11.055742 1.435963 0.6191 0.6410 0.3882 nan nan
2459990 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.418205 15.011195 1.109612 -0.906967 -0.263759 0.508114 11.480546 1.346782 0.6185 0.6437 0.3855 nan nan
2459989 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.899121 15.468054 0.992833 -0.705727 -0.552008 0.581681 8.164161 0.582492 0.6179 0.6465 0.3858 nan nan
2459988 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.371366 18.468430 1.109736 -0.995610 -0.624666 0.423567 8.925919 1.197870 0.6207 0.6489 0.3762 nan nan
2459987 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.683172 15.348108 1.236350 -0.943067 -0.433297 0.816038 17.483123 2.747577 0.6216 0.6475 0.3771 nan nan
2459986 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.330808 18.436099 1.249414 -1.019471 -0.271568 0.921522 7.903177 -0.417586 0.6451 0.6727 0.3350 nan nan
2459985 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.452478 17.477661 1.277231 -0.986402 -0.524777 0.491682 22.843202 1.962370 0.6242 0.6511 0.3812 nan nan
2459984 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.195449 15.918147 1.451734 -0.955345 -0.094204 0.267634 14.464194 0.800021 0.6372 0.6660 0.3594 nan nan
2459983 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 11.940781 15.761856 1.179431 -0.957230 -0.191051 1.070948 12.078833 -0.125436 0.6577 0.6821 0.3212 nan nan
2459982 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.988475 13.749906 1.011972 -0.950885 0.075113 0.679339 2.075295 -1.088488 0.7139 0.7135 0.2807 nan nan
2459981 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.866387 14.430121 1.137850 -1.066805 6.910587 7.503192 13.595887 1.646375 0.6350 0.6539 0.3792 nan nan
2459980 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.745407 13.693480 6.318278 4.411032 1.890925 0.172134 5.761267 4.844407 0.6271 0.6658 0.3061 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 204: 2460016

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 15.186500 14.528194 10.367088 -0.933803 1.504378 0.002393 -0.067668 2.032486 15.186500

Antenna 204: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 19.911177 15.054163 10.562701 -0.907284 1.591091 -0.051198 -0.126621 1.465677 19.911177

Antenna 204: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 16.209914 10.493350 16.209914 1.002552 -0.953606 0.667515 1.933933 13.568719 2.908702

Antenna 204: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 23.522584 10.810690 15.100832 1.645372 -0.901238 -0.019929 -0.144283 23.522584 1.817934

Antenna 204: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 31.606949 10.184732 14.218853 1.525768 -1.044245 0.209154 0.225999 31.606949 2.915612

Antenna 204: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 23.478389 10.533821 14.982535 1.871330 -1.406044 0.318607 0.492208 23.478389 1.919856

Antenna 204: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 20.579433 10.652974 16.408093 1.380507 -0.952993 0.250468 0.504899 20.579433 1.722007

Antenna 204: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 23.962913 10.229927 15.777658 1.920736 -1.044024 -0.578002 0.031408 23.962913 2.055676

Antenna 204: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 17.989565 17.989565 11.381250 -1.235403 1.893594 0.029073 -0.229223 -0.885049 7.913632

Antenna 204: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 20.501409 9.782420 13.975582 1.463748 -0.974904 0.446794 0.706373 20.501409 1.516528

Antenna 204: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 204: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 14.176720 7.866459 13.470266 1.377859 -0.817637 -0.520635 0.558461 14.176720 1.077141

Antenna 204: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 28.990270 8.507131 14.423999 1.461406 -0.785468 -0.228583 0.370365 28.990270 1.764292

Antenna 204: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 15.903692 9.488666 15.662447 2.318113 -0.842786 0.184163 0.068674 15.903692 1.706884

Antenna 204: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 15.786604 9.145420 15.786604 1.598493 -1.081327 -0.047883 0.451697 12.314952 1.322992

Antenna 204: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 15.831723 8.949441 15.831723 1.337040 -0.909357 -0.345002 1.112052 13.731795 1.222212

Antenna 204: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 17.125055 9.173877 17.125055 1.048396 -0.924982 -0.054238 0.824020 10.173869 1.680888

Antenna 204: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 18.088739 9.863209 18.088739 1.160198 -0.918574 -0.330339 0.859614 11.055742 1.435963

Antenna 204: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 15.011195 15.011195 8.418205 -0.906967 1.109612 0.508114 -0.263759 1.346782 11.480546

Antenna 204: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 15.468054 15.468054 8.899121 -0.705727 0.992833 0.581681 -0.552008 0.582492 8.164161

Antenna 204: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 18.468430 18.468430 10.371366 -0.995610 1.109736 0.423567 -0.624666 1.197870 8.925919

Antenna 204: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 17.483123 8.683172 15.348108 1.236350 -0.943067 -0.433297 0.816038 17.483123 2.747577

Antenna 204: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 18.436099 18.436099 10.330808 -1.019471 1.249414 0.921522 -0.271568 -0.417586 7.903177

Antenna 204: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance ee Temporal Discontinuties 22.843202 17.477661 9.452478 -0.986402 1.277231 0.491682 -0.524777 1.962370 22.843202

Antenna 204: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 15.918147 8.195449 15.918147 1.451734 -0.955345 -0.094204 0.267634 14.464194 0.800021

Antenna 204: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 15.761856 11.940781 15.761856 1.179431 -0.957230 -0.191051 1.070948 12.078833 -0.125436

Antenna 204: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 13.749906 10.988475 13.749906 1.011972 -0.950885 0.075113 0.679339 2.075295 -1.088488

Antenna 204: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 14.430121 14.430121 10.866387 -1.066805 1.137850 7.503192 6.910587 1.646375 13.595887

Antenna 204: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
204 N19 RF_maintenance nn Shape 13.693480 13.693480 8.745407 4.411032 6.318278 0.172134 1.890925 4.844407 5.761267
In [ ]: